2015
DOI: 10.1016/j.procs.2015.05.294
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Forest Fire Propagation Prediction Based on Overlapping DDDAS Forecasts

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Cited by 21 publications
(10 citation statements)
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“…Based on the results of this study, regulatory master plans and spatial development tools depicting scenarios to ensure sustainable development and regions more resilient to natural disasters, should limit urban sprawl and rural abandonment [10,40,44,57,74], protecting, at the same time, the most vulnerable areas to wildfires, especially those situated close to dense road networks. From this perspective, agriculture can be regarded as a factor promoting and reducing fire risk at the same time.…”
Section: Discussionmentioning
confidence: 99%
“…Based on the results of this study, regulatory master plans and spatial development tools depicting scenarios to ensure sustainable development and regions more resilient to natural disasters, should limit urban sprawl and rural abandonment [10,40,44,57,74], protecting, at the same time, the most vulnerable areas to wildfires, especially those situated close to dense road networks. From this perspective, agriculture can be regarded as a factor promoting and reducing fire risk at the same time.…”
Section: Discussionmentioning
confidence: 99%
“…These early initial early estimates can be helpful in orienting operational near real-time fire management decision making [39,64]. Furthermore, these interpolated perimeters can allow researchers to initialize and calibrate fire propagation models to support in operational real-time decision making [38,40,43,65,66]. Interestingly, aggregated MODIS and VIIRS perimeters showed a good capacity for detecting some small active fire clusters, not detected by MODIS burned area products.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, while one advantage of the tested approach is the simplicity of the convex hull algorithm tested, which is widely available for use in GIS operational software tools, future studies might analyze potential improvements in the perimeter prediction with more complex algorithms that have also shown potential for fire perimeter delineation [15], together with its potential application for calibrating fire propagation models to support in operational real time decision making [39,40,43,[64][65][66].…”
Section: Discussionmentioning
confidence: 99%
“…The forest fire spreading is a complex process affected by multi-factors. Understanding the relationships between these multi-factors and the forest fire-spreading trend is vital to predicting the fire spreading promptly and accurately, creating the strategy in extinguishing the forest fire [2][3][4][5][6][7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%